👤 B Vohnout

Cardiovascular diseases (CVDs) remain a leading global cause of mortality and disability, with significant disparities observed across countries. This is particularly true in Central and Eastern Europe (CEE), where populations are primarily at high and very high CVD risk. Highlighting modifiable risk factors underscores the urgent need for effective prevention programs. This paper introduces the European Program for Prevention (EPP), an initiative by the International Lipid Expert Panel (ILEP), designed to address these challenges. The EPP aims to enhance awareness and knowledge of validated preventive healthcare solutions implemented in CEE countries, showcase the region's potential for innovative strategies, and evaluate the adaptability of successful programs for broader implementation. The EPP strongly supports the EU Cardiovascular Health Plan, as well as initiatives by the World Heart Federation (WHF) and World Health Organization (WHO), by promoting best practices, early detection, integrated prevention frameworks, training, cross-border cooperation, and policy development. It advocates shifting healthcare priorities towards pre-disease prevention, thus reducing reliance on resource-intensive treatments. The program proposes an optimal CVD prevention system that includes mandatory health education, screening programs for familial hypercholesterolemia and universal Lp(a) screening, and comprehensive check-ups, notably integrated, comprehensive care programs. By leveraging existing validated programs and fostering collaboration, the EPP seeks to reduce the burden of CVD, improve outcomes, and promote cardiovascular health across Europe and beyond. Show less

We assessed association between novel biomarkers of cardiovascular disease and conventional factors in 40 years old subjects (208 men and 266 women) from the general population of Slovakia. FER(HDL) (cholesterol esterification rate in HDL plasma), AIP--Atherogenic Index of Plasma [Log(TG/HDL-C)] as markers of lipoprotein particle size, and CILP2, FTO and MLXIPL polymorphisms, were examined in relation to biomarkers and conventional risk factors. Univariate analyses confirmed correlation between AIP, FER(HDL) and the most of measured parameters. Relations between AIP and CILP2, FTO and MLXIPL were not significant. However, CILP2 was significantly related to FER(HDL) in both genders. In multivariate analysis BMI was the strongest correlate of AIP levels. In multivariate model variability of FER(HDL) was best explained by AIP (R(2) = 0.55) in both genders with still significant effect of CILP2 SNP in men. In a model where AIP was omitted, TG levels explained 43 % of the FER(HDL) variability in men, while in women HDL-C was the major determinant (42 %). In conclusions, FER(HDL) and AIP related to the known markers of cardiovascular risk provide means to express their subtle interactions by one number. Our novel finding of association between CILP2 polymorphism and FER(HDL) supports its role in lipid metabolism. Show less